2-D Sampling and
Quantisation
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2D sampling and Quantisation for images, Slides of Digital Image Processing
The PPT describes two dimentional sampling and quantisation based on the concepts learned using one dimensional sampling and quantisation
Typology: Slides
2018/2019
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2-D Sampling and
Quantisation
Image Sampling and Quantization
To create a digital image, we need to
convert the continuous sensed data
into digital form.
This involves two processes:
Sampling and quantization.
Representing Digital Images
Notations
Spatial resolution
Intensity Resolution
gray
16
The Sampling
Function
The sampling function is a set of impulses evenly spaced on a grid.
The sampling function is a set of impulses evenly spaced on a grid.
17
The Sampling of an Image
An image is sampled by multiplying it by the sampling function FI(x,y)S(x,y)*
An image is sampled by multiplying it by the sampling function FI(x,y)S(x,y)*
Let FI(x,y) denote a continuous, infinite- extent, ideal image field
Let FI(x,y) denote a
continuous, infinite- extent, ideal image field